import org.apache.spark
import org.apache.spark.sql.SparkSession

object Salary {
  def main(args: Array[String]): Unit = {
    val spark = SparkSession.builder()
      .appName("RDDPartitionExample")
      .master("local[*]")
      .getOrCreate()
    val sc = spark.sparkContext

    val first_half = sc.textFile("C:\\Users\\PC-608\\Desktop\\Employee_salary_first_half.csv")
    val second_half = sc.textFile("C:\\Users\\PC-608\\Desktop\\Employee_salary_second_half.csv")

    val drop_first = first_half.mapPartitionsWithIndex((ix, it) => {
      if (ix == 0) it.drop(1)
      it
    })
    val drop_second = second_half.mapPartitionsWithIndex((ix, it) => {
      if (ix == 0) it.drop(1)
      it
    })

    val split_first = drop_first.map(
      line => {
        val data = line.split(",");(data(1), data(6).toInt)}
    )
    val split_second = drop_second.map(
      line => {
        val data = line.split(","); (data(1), data(6).toInt)}
    )

    val filter_first = split_first.filter(x => x._2 > 200000).map(x => x._1)
    val filter_second = split_second.filter(x => x._2 > 200000).map(x => x._1)

    val name = filter_first.union(filter_second).distinct()
    println(name.collect().mkString(","))
  }
}
